THE URINE PROTEIN TO CREATININE RATIO (P/C) AS A PREDICTOR OF 24-HOUR URINE PROTEIN EXCRETION IN RENAL TRANSPLANT PATIENTS
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Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to examine the utility of the random urine protein to creatinine ratio (P/C) in evaluation and longitudinal management of proteinuria in adult renal transplant recipients with or without overt nephropathy in an outpatient clinic. METHODS: A total of 289 adult renal transplant recipients provided 24-hr urine collections for total protein and creatinine, followed by a random urine for protein and creatinine. For longitudinal analysis, 192 of these patients provided two 24-hr urine collections with concomitant random urine specimens separated on average by 6.8 months. As well, 134 patients provided a total of 851 multiple-paired spot and 24-hr urine samples (range 2 to 12) over a 2-year period. RESULTS: The log random urine P/C ratio correlated significantly to the log 24 UP (r=0.749, P<0.0001) with or without nephrotic range proteinuria. High sensitivity (74.4-90%) and specificity values (93-98%) were found for estimating proteinuria from 0.5 to 2 g/day. However, the precision of estimation decreased as the level of urinary protein excretion increased to >3 g/day. The positive predictive value decreased as proteinuria became >3 g/day, perhaps because of the low prevalence of patients with high level proteinuria in our sample. The direction of change in P/C ratio longitudinally was accompanied by a similar direction of change in 24 UP, which was highly significant (r=0.7555, P<0.0001). CONCLUSION: We conclude that the urine P/C ratio is a useful and convenient screening and longitudinal test for proteinuria.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it